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Paper Citation Record · LEDGER

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models

As of 16 August 2026, this Paper Citation Record lists 74 of 74 outbound references and 2 inbound Pith citation observations for arXiv:2501.04312.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2501.04312 v1

Coverage vector

measured 74 of 74 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:39:18.251683Z

measured 76 of 76 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-13T21:59:42.435082Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-13T22:03:20.528598Z

Reference resolution

74 of 74 outbound references displayed

  • verified exact2
  • verified fuzzy49
  • unresolved23
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 14db4e80-0358-4275-981c-c9cebc40ff0f · outbound

This paper cites https://openai.com/chatgpt, 2024.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models https://openai.com/chatgpt, 2024

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:19.265022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:39:17.893932Z digest=sha256:a3c886ae4bd6a19d69b77874dbb6057a05b2d4b523905456843808247ba543a3

Observation 347092c0-0ef0-4a6b-a1c7-60563b363315 · outbound

This paper cites https://github.com/DFUZZ-ICSE/DFUZZ, 2024.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models https://github.com/DFUZZ-ICSE/DFUZZ, 2024

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:19.250129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:39:17.899198Z digest=sha256:f0c4ac079d48c1a0d08d3c8f34e34717de2bb04fda3c6c52dfea1cde0828e922

Observation e4925fff-451f-40b2-922b-7df142b9071b · outbound

This paper cites https://github.com/meta-llama/llama, 2024.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models https://github.com/meta-llama/llama, 2024

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:19.235171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:39:17.904897Z digest=sha256:f2962472260136e6e0b72099bf62d7e9302d61bc10f10f25e553b9d4b678d9c2

Observation e14ded0b-4bc0-4508-9e8e-62e6a959bf72 · outbound

This paper cites http://pytorch.org, 2024.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models http://pytorch.org, 2024

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:19.221509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:39:17.909488Z digest=sha256:b393135c86c3608cc63e7f6e2506559fe7b3ae4d871feeb8e8407c1e8a1a4035

Observation bff4fa2a-8bf6-48fb-a066-dc47410f531d · outbound

This paper cites https://replicate.com, 2024.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models https://replicate.com, 2024

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:19.208895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:39:17.914605Z digest=sha256:c415adce09017a8a333336888ed2c9be19559b53d60bc9891a93850ba1c6a88b

Observation 3220d0ab-b8af-425c-8663-da34148e959c · outbound

This paper cites https://www.tensorflow.org, 2024.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models https://www.tensorflow.org, 2024

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:19.194310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:39:17.920433Z digest=sha256:afcbeb337073078220ec2eeb5f9236ad2d103400e6cf7bb613ba5ab61109c525

Observation 6f41b3e2-f17c-401d-8155-24a00ca5ec57 · outbound

This paper cites Deep learning-based methods in structural reliability analysis: a review.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Deep learning-based methods in structural reliability analysis: a review

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:19.179106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:39:17.926141Z digest=sha256:5a76d85a37df0907d676dcaf9fea866976bdd68a692716e51f0be243011c87c9

Observation f28f05f2-637c-451b-8f93-a0a5ed489afe · outbound

This paper cites On hardware security bug code fixes by prompting large language models.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models On hardware security bug code fixes by prompting large language models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-10T21:39:17.930875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:39:17.930875Z digest=sha256:801e8e7e2d616fca6c46d49bf5804738171f34b7d5caf8d250f076a9a143b4b7

Observation 6d8e4983-8617-4588-929d-2bba382ba702 · outbound

This paper cites Redqueen: Fuzzing with input-to-state correspon- dence.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Redqueen: Fuzzing with input-to-state correspon- dence

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:19.158535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:39:17.936081Z digest=sha256:d5ff3799e87cad0b47ebad7475c6079f6544e00e284e8b99137fdd1235348977

Observation 012e8dea-2790-4e99-a565-a2b4069e3729 · outbound

This paper cites Program Synthesis with Large Language Models.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Program Synthesis with Large Language Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T21:39:17.940238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:39:17.940238Z digest=sha256:3f043a8591c797347cf4da8b79767c5488a783a2f30c8c9fdca95a92123eb98b

Observation 0d3bfe3c-2877-4e8e-b36d-46cd53886158 · outbound

This paper cites Deep learning and medical diag- nosis: A review of literature.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Deep learning and medical diag- nosis: A review of literature

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:19.144317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:39:17.944837Z digest=sha256:a55341f5e972b2ef087b6eed7eceec8084a1850a0ad95309a805b9a37b9fcbb9

Observation 0faa97b7-d67a-47c6-b284-ba0a4906e91d · outbound

This paper cites Directed greybox fuzzing.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Directed greybox fuzzing

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T21:39:17.949693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:39:17.949693Z digest=sha256:cd05e02c76269c1b9d17e06804b00ad5bae2e32980ff9e42ee666250a6f0b91e

Observation dbc1ab5e-a876-4a7f-9ca9-9d5fcbfd97db · outbound

This paper cites Language models are few-shot learners.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Language models are few-shot learners

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-10T21:39:17.954887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:39:17.954887Z digest=sha256:34430d72c688281dc99c1eff2151b34f897fa4111d1744abdc49b65aa4728285

Observation 788bbeb3-caaa-4d32-988d-e887abfdf3bc · outbound

This paper cites {IvySyn}: Automated vulnerability discovery in deep learning frameworks.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models {IvySyn}: Automated vulnerability discovery in deep learning frameworks

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T21:39:17.959237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:39:17.959237Z digest=sha256:f564e5d8d1767203c4060d84f0b7e549ae8e083a67dffe4154ec1eca5058d6e0

Observation cb4c6abc-489c-466c-bcae-9cf7d6e1f6b8 · outbound

This paper cites Large language models are zero-shot fuzzers: Fuzzing deep-learning libraries via large language models.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Large language models are zero-shot fuzzers: Fuzzing deep-learning libraries via large language models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-10T21:39:17.963652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:39:17.963652Z digest=sha256:13767f06f4f8a63a490b542c199bb96227d26df80a70b228ced6f9cfe86cb6ba

Observation d5dc1856-170a-497e-9eae-4afdba0e294f · outbound

This paper cites Large language models are edge-case generators: Crafting unusual programs for fuzzing deep learning libraries.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Large language models are edge-case generators: Crafting unusual programs for fuzzing deep learning libraries

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T21:39:17.967649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:39:17.967649Z digest=sha256:94c103d3600948119f199a5e11a4bdff55ff9e74e3468d82f5849d99860f1baa

Observation 36993db7-170c-4264-bda5-681bf2acf22c · outbound

This paper cites Fuzzing deep-learning libraries via automated relational api inference.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Fuzzing deep-learning libraries via automated relational api inference

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:19.072977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:39:17.971917Z digest=sha256:f9152e2daddfbfef246f53e9963c1267ad901ee1330bfb341928e9fdcb3d0602

Observation 171d37bf-ff83-4d00-8d72-d4f4cfb3f55a · outbound

This paper cites Differential testing of cross deep learning framework {APIs}: Revealing inconsistencies and vulnerabilities.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Differential testing of cross deep learning framework {APIs}: Revealing inconsistencies and vulnerabilities

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-10T21:39:17.976566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:39:17.976566Z digest=sha256:556c41a489b58ee987cd74f29487ce7f9204b3299ad8a08be9dd974427b8a6b1

Observation 74848fd1-ad25-4bc7-a5ff-563e41e90b76 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-10T21:39:17.981252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:39:17.981252Z digest=sha256:12811013fe2be7f426a9d50aac43b4ff455a3bfbdf1db29009dd6fb67b3a246b

Observation 4d8721ad-8750-40fc-955a-0e1e10c59b85 · outbound

This paper cites Large language models of code fail at completing code with potential bugs.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Large language models of code fail at completing code with potential bugs

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-10T21:39:17.985814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:39:17.985814Z digest=sha256:73c81339ecd5ff70be01281fa86280f9fa58b937d95eeaa1a0015ea2cd8b8fa7

Observation fba6c51c-f4db-4064-acd0-6b7fcc93ec69 · outbound

This paper cites CodeBERT: A Pre-Trained Model for Programming and Natural Languages.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-10T21:39:17.990880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:39:17.990880Z digest=sha256:9a85d52a01990df9683e6b90cb942cad9376f40e7cda67ae38efd9f35071962c

Observation debec725-7bc0-45aa-949f-97e2652177b7 · outbound

This paper cites {AFL++}: Combining incremental steps of fuzzing research.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models {AFL++}: Combining incremental steps of fuzzing research

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:19.039682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:39:17.996070Z digest=sha256:6ba325c627f315af110265dac5eac0190189e3d7c680ba7f130e7f3b6b37edad

Observation 41650fb7-23ce-42af-876f-fe305dd5b849 · outbound

This paper cites Libafl: A framework to build modular and reusable fuzzers.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Libafl: A framework to build modular and reusable fuzzers

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-10T21:39:18.000687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:39:18.000687Z digest=sha256:13aed0c2d587f17262df917ce18e6a8c00730390cf0135807d449a8a6cda8c5a

Observation 8aab7ac8-f319-4ced-9732-b8e5dfcf6674 · outbound

This paper cites Grammar-based whitebox fuzzing.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Grammar-based whitebox fuzzing

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:18.997124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:39:18.005569Z digest=sha256:242c36d6c85a0253a699400c5f178edb38933d379bb310d24cf384f29a82f90d

Observation be8a8556-f3b9-46be-9aa4-07c615c9dfc8 · outbound

This paper cites Learn&fuzz: Machine learning for input fuzzing.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Learn&fuzz: Machine learning for input fuzzing

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-10T21:39:18.010562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:39:18.010562Z digest=sha256:4b1d905cdcd68f26b0a12ca0d7bd46959b10f8298c5e008801af602a34ba5773

Observation b82b8cb2-ee7c-45f3-9ef1-a9022ba6a2d8 · outbound

This paper cites A survey of deep learning techniques for autonomous driving.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models A survey of deep learning techniques for autonomous driving

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:18.967892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:39:18.015777Z digest=sha256:425fff808a4c441140c8945cea6b061133808c4959f9cc17ba6843666c207541

Observation 0ee1d924-72a5-4f19-b01b-96bad572821f · outbound

This paper cites Muffin: Testing deep learning libraries via neural architecture fuzzing.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Muffin: Testing deep learning libraries via neural architecture fuzzing

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:18.954527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:39:18.020287Z digest=sha256:7b443fb658b05ba29746e6c568df1b05ba467b79ef5922c247ed98d5bb305073

Observation 31a77955-c92a-4149-ba77-f325b7d9c275 · outbound

This paper cites Longcoder: A long-range pre-trained language model for code completion.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Longcoder: A long-range pre-trained language model for code completion

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:18.941075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:39:18.026577Z digest=sha256:c3e0f89da68972ec2493fd36bccc50c5277505e7229746c5ec843d66bf69b463

Observation 9f2b8c19-c0aa-4777-a576-ede01b399db5 · outbound

This paper cites Audee: Automated testing for deep learning frameworks.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Audee: Automated testing for deep learning frameworks

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-10T21:39:18.031471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:39:18.031471Z digest=sha256:9858ac5964c06eba64a5f379ab59a78202273c6876c47687f08dcb3933cbafc9

Observation b97f4035-299e-4673-b0e9-1ab0e988625c · outbound

This paper cites Deep learning-based pedestrian detection in autonomous vehicles: Substantial issues and challenges.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Deep learning-based pedestrian detection in autonomous vehicles: Substantial issues and challenges

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:18.916250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:39:18.035838Z digest=sha256:61d3f04f7ea5b60323ecbaa6dae68971317044b99e11995d41f2ad698bfd5be2

Observation 39944ffe-b099-4ffd-ad85-6f1d8904355c · outbound

This paper cites Jigsaw: Large language models meet program synthesis.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Jigsaw: Large language models meet program synthesis

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:18.903720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:39:18.040406Z digest=sha256:49bb701126edc27acc15f4ddb0a02fdafee3b8c2171f36800bc06da9ed9fc7fb

Observation 4d30e687-b17a-4647-9f14-2ff431b153c2 · outbound

This paper cites A context-based automated approach for method name consistency checking and suggestion.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models A context-based automated approach for method name consistency checking and suggestion

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:18.891177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:39:18.045364Z digest=sha256:a99e1fe6caf2ebbf917f8137dea89c2703a9d5d34a22f93300307ea9622379b7

Observation cb8c05e5-7739-484a-8387-d2bc840ce722 · outbound

This paper cites Vulnerability detection with fine-grained interpretations.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Vulnerability detection with fine-grained interpretations

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:18.877503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:39:18.049657Z digest=sha256:128c25aa6adccd2323907cf7982326acb7650f7fc206d898cc2d9df36bea60a5

Observation 75a39b50-d3e8-4b1f-a636-ca772c3ba717 · outbound

This paper cites Utango: untangling commits with context-aware, graph-based, code change clustering learning model.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Utango: untangling commits with context-aware, graph-based, code change clustering learning model

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:18.864365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:39:18.053798Z digest=sha256:8d2d9c5b3e8fb373f665a91773f0b785ea2e9d48ab3f44d7c65465476bd2fcb1

Observation 84e420a8-1ae5-4e1b-a22c-47a5f46bd60e · outbound

This paper cites Contextuality of code repre- sentation learning.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Contextuality of code repre- sentation learning

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:18.850984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:39:18.058596Z digest=sha256:0ead7f1e74ef1156408105a7f2fcf014321ecb0591e58619f471f3d56252aa8e

Observation 7f9cac51-791a-4281-b046-b54b930a12e0 · outbound

This paper cites Commit-level, neural vulnerability detection and assessment.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Commit-level, neural vulnerability detection and assessment

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:18.836677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:39:18.063818Z digest=sha256:83029c5b3928103d6ee5dbd61650533920bb946b1e54acede6388e412a4a93ad

Observation 752ab5ba-77f1-4e9b-9cbd-7b7821f0053c · outbound

This paper cites Documentation-guided fuzzing for testing deep learning api functions.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Documentation-guided fuzzing for testing deep learning api functions

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:18.822380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:39:18.068402Z digest=sha256:eb044f966aaa015ec4711420eeeae6060ba384cdda2c01701aaa43780bd19fd9

Observation 1ad833a8-65b4-42ac-ae54-119bac63a057 · outbound

This paper cites Guiding Enumerative Program Synthesis with Large Language Models.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Guiding Enumerative Program Synthesis with Large Language Models

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-08-10T21:39:18.343961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:39:18.074310Z digest=sha256:8fced5f6a5b3e8a27c229aba4b90d69115ad638a32abb3ed72f988ddab50f4dc

Observation 05791774-68c7-4bc6-b252-51a523d122b6 · outbound

This paper cites Multi-task learning based pre-trained language model for code completion.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Multi-task learning based pre-trained language model for code completion

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:18.807823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:39:18.079490Z digest=sha256:2ed5510474c667c4b7a3b9d751f0088397a3c5d2c17f0325927cbd53e778cc8e

Observation 897c6fd3-5083-4b6c-9a3d-cec3b5696c96 · outbound

This paper cites Nnsmith: Generating diverse and valid test cases for deep learning compilers.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Nnsmith: Generating diverse and valid test cases for deep learning compilers

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-10T21:39:18.083413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:39:18.083413Z digest=sha256:b1ffe978f448df4ac207b2dc9749bfd5f75fc09f570ea2c947ef5d16df7f52b4

Observation 30609e3a-fd26-490f-9616-ee4827e36b5c · outbound

This paper cites Is your code generated by chatgpt really correct? rigorous evaluation of large language models for code generation.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Is your code generated by chatgpt really correct? rigorous evaluation of large language models for code generation

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:18.779952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:39:18.089153Z digest=sha256:670fc37b491926d10d0991134a3d1bd8393c64f4cce0e54b6c8905a2ebea480f

Observation b9eb4022-af3e-4e11-afb4-eb68b4f76ca0 · outbound

This paper cites Computing systems for autonomous driving: State of the art and challenges.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Computing systems for autonomous driving: State of the art and challenges

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:18.764809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:39:18.093511Z digest=sha256:77ea8afd57357c36936692f939d67f9bfb537fd11c8408f37639ee2585b08c09

Observation c7bef855-8e46-4da0-b8f1-bb5ec39c3f36 · outbound

This paper cites Ems: History-driven mutation for coverage-based fuzzing.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Ems: History-driven mutation for coverage-based fuzzing

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-10T21:39:18.098755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:39:18.098755Z digest=sha256:d63c763054e2e5db570b2e59296144732c6d63f069a76d128bb428dc7cf4ac29

Observation a9827669-4248-46ac-8cdd-fb05fe953481 · outbound

This paper cites Deep learning for safe autonomous driving: Current challenges and future directions.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Deep learning for safe autonomous driving: Current challenges and future directions

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:18.743280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:39:18.103781Z digest=sha256:ba5eeb6fb639be6208fb7c1a3bc3db6f0dc43c63c86223c2ce3791aff837ce22

Observation d70d063d-c877-4c31-a930-f11bd018acbf · outbound

This paper cites Combining program analysis and statistical language model for code statement completion.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Combining program analysis and statistical language model for code statement completion

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:18.729494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:39:18.109128Z digest=sha256:6a8be0d608b881f56eeb0622de9bafa38434942fbd6e3bc77f4c7e5f6f0c5d95

Observation 0a4004f2-c1c9-4b62-9fb0-0bc4bfeb3ca1 · outbound

This paper cites Examining zero-shot vulnerability repair with large language models.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Examining zero-shot vulnerability repair with large language models

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:18.715968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:39:18.113360Z digest=sha256:f210e464165bdd1ca883297060402e387a5bee7a583f8c0ce1111af3f86de32a

Observation 2e540241-ad53-4ad7-9b81-eb74347d3c3c · outbound

This paper cites T-fuzz: fuzzing by program transformation.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models T-fuzz: fuzzing by program transformation

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:18.700568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:39:18.117700Z digest=sha256:c18ab1d017b906bcc3393f61fca7fc43f48dd7a2671d33b2aac9f31bee21a6fd

Observation daf9f441-6f87-458b-b777-f91b51a348e3 · outbound

This paper cites Cradle: cross-backend validation to detect and localize bugs in deep learning libraries.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Cradle: cross-backend validation to detect and localize bugs in deep learning libraries

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-10T21:39:18.122869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:39:18.122869Z digest=sha256:b3e7c1d453e7603886302f498e5c2fa5308f7a1804faaf9d241e95d61c1c6570

Observation 7e4a9761-42fd-4fbd-b52c-61381e584537 · outbound

This paper cites Smart greybox fuzzing.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Smart greybox fuzzing

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:18.676427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:39:18.128281Z digest=sha256:64e38c38adf36819d360eaa35fd04256d3a0f6862464e1005626c2e862fd64b4

Observation f36846da-17a7-4058-bd41-6c067e7612b7 · outbound

This paper cites On extractive and abstractive neural document summarization with transformer language models.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models On extractive and abstractive neural document summarization with transformer language models

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:18.663817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:39:18.132267Z digest=sha256:06286e70d6b82bbef6b4f4fffab31a529573f08b76b9781ad7240852043bec7b

Observation 1e264557-0a9d-45a9-84ea-958bdafb791f · outbound

This paper cites Deep neural network perception models and robust autonomous driving systems: practical solutions for mitigation and improvement.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Deep neural network perception models and robust autonomous driving systems: practical solutions for mitigation and improvement

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:18.651429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:39:18.136384Z digest=sha256:f167ac3732c504043e35c657a4adea82c4a8e42c116d3511651b71e434cf589b

Observation 6654d1c0-ed19-48f5-85bf-aa6b3f275652 · outbound

This paper cites Deep learning in medical image analysis.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Deep learning in medical image analysis

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:18.638560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:39:18.141307Z digest=sha256:08ab9512fb6676e6b2bfa3ca318e34ba0e2b47a0147e249426c2f18e3488deb4

Observation 7ccac717-1961-4605-a1de-585e35ab53e2 · outbound

This paper cites Choose your programming copilot: a comparison of the program synthesis performance of github copilot and genetic programming.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Choose your programming copilot: a comparison of the program synthesis performance of github copilot and genetic programming

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:18.624722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:39:18.145560Z digest=sha256:b716e08dc5e12921a7cbe704c77bf868ed69831e697faf738818e5da778bd2dc

Observation 57e2d8c7-c6a4-4745-9d8b-a23f2333186b · outbound

This paper cites Evaluating large language models on medical evidence summa- rization.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Evaluating large language models on medical evidence summa- rization

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:18.610843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:39:18.155557Z digest=sha256:dd641f5ca36b2af36db2e75f8724f374d4032a4f99a295c60a207dcf7a0b353e

Observation f88125fc-7ea5-48b0-8928-c03f33ac9298 · outbound

This paper cites Verifying data constraint equivalence in fintech systems.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Verifying data constraint equivalence in fintech systems

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:18.595710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:39:18.159594Z digest=sha256:948344dbcdd2c6bcbd8b1373cc6cab1921d630da4d50e20c8ff57d3fa30e0a67

Observation 2e6a152e-3061-4366-8eff-842fb4a55450 · outbound

This paper cites Eagle: Creating equivalent graphs to test deep learning libraries.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Eagle: Creating equivalent graphs to test deep learning libraries

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:18.582309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:39:18.163590Z digest=sha256:f02a30143b9db2f81e72ed59737114461b5ec03a01b0722c65b92289cf38c36a

Observation 32feab69-b33f-45e6-b765-088c8aa5fb19 · outbound

This paper cites Deepvd: Toward class-separation features for neural network vulnerability detection.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Deepvd: Toward class-separation features for neural network vulnerability detection

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:18.568596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:39:18.167436Z digest=sha256:4602913c20b5de92ff7d0239ac44e9ddbd37b989e5c5ec25a004d1db9c3840fb

Observation a4d53697-1b1e-452a-afbf-6e06e218d502 · outbound

This paper cites Natural is the best: Model-agnostic code simplification for pre-trained large language models.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Natural is the best: Model-agnostic code simplification for pre-trained large language models

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:18.553455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:39:18.172806Z digest=sha256:bd9c7b12d9f45156cfe511c5d2ccfbc96575bb7c36cc8c6889a5db2796968d3a

Observation 75466f63-21a8-4e62-b92f-1870cda1840e · outbound

This paper cites Deep learning library testing via effective model generation.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Deep learning library testing via effective model generation

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:18.540629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:39:18.177889Z digest=sha256:e85d2bf1ad5a7e6fd12bb8bb9281f73f024836d5c08a0113457756f2434af67b

Observation b9f3e741-babd-49ea-96e7-2621c072bbff · outbound

This paper cites Free lunch for testing: Fuzzing deep-learning libraries from open source.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Free lunch for testing: Fuzzing deep-learning libraries from open source

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:18.527027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:39:18.183971Z digest=sha256:1e63a5cd9de1a99a68065f17f25ba964dc438aca2d2604c9956841c1fd6b491a

Observation aa0c3a22-fb16-4c7b-b24d-2b080493dd3a · outbound

This paper cites Copiloting the copilots: Fusing large language models with completion engines for automated program repair.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Copiloting the copilots: Fusing large language models with completion engines for automated program repair

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:18.513545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:39:18.188643Z digest=sha256:89872bcf697da734ce958f70cbadcddd6ba5ba632963f520ac9a325e7014b61d

Observation 47cc92bc-799e-4f0a-bd54-e4a9ac9a2e8d · outbound

This paper cites When less is enough: Positive and unlabeled learning model for vulnerability detection.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models When less is enough: Positive and unlabeled learning model for vulnerability detection

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:18.500286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:39:18.194534Z digest=sha256:acd79730b690ed2ecafbff5e538bcffc05eec7b3b5938e1d61891a82dd179280

Observation 0dc74218-c9ce-495d-9397-d4c176fd452f · outbound

This paper cites Using github copilot to solve simple programming problems.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Using github copilot to solve simple programming problems

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-10T21:39:18.198522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:39:18.198522Z digest=sha256:47146c8af43a31f1502faa579e5f5d310a7b6f7dd7c7f5aecc2c5a3df0b74a02

Observation 37bd8f63-8dcb-4ce0-a1ce-960523422470 · outbound

This paper cites Docter: Documentation-guided fuzzing for testing deep learning api functions.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Docter: Documentation-guided fuzzing for testing deep learning api functions

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:18.476392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:39:18.203582Z digest=sha256:bead7230404c5b15f9c9e095b151d1af76891c802d8fd356994308b405948b49

Observation 8c0b3e16-f152-4880-8a73-5c402ddf847a · outbound

This paper cites A systematic evaluation of large language models of code.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models A systematic evaluation of large language models of code

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-10T21:39:18.208174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:39:18.208174Z digest=sha256:f45b91471056a51f2b21011363fc34abd30ba8ba4c537de2e69ba1d5eed51f77

Observation 3afa07de-0703-4246-9d5a-bcbfe228ade1 · outbound

This paper cites SelfPiCo: Self-Guided Partial Code Execution with LLMs.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models SelfPiCo: Self-Guided Partial Code Execution with LLMs

Reference 66

Resolution
verified exact
local_arxiv, observed 2026-08-10T21:39:18.325481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:39:18.212128Z digest=sha256:835e709e79aee993ff0c7d77d4a5a4552d90c3fab0e4694a0b1ee6b133501daa

Observation 11a674b0-628e-49ab-9bcf-c1467d0c69c8 · outbound

This paper cites A learning-based approach to static program slicing.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models A learning-based approach to static program slicing

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:18.454207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:39:18.219533Z digest=sha256:b9d0baa31be0c2044888ae81dcd361aff145e77722f63df56fddb21e8c54c0ca

Observation da6af9ed-9a0c-473c-806f-5a6a711c6ed3 · outbound

This paper cites (partial) program dependence learning.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models (partial) program dependence learning

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:18.439862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:39:18.224261Z digest=sha256:9cb657132c584d23bf7f0b0744f280cada6afc85d62ebec7f9bb992ae4b14963

Observation 151a5123-8d1e-46f2-a429-da992d13a615 · outbound

This paper cites Fuzzing automatic differentiation in deep-learning libraries.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Fuzzing automatic differentiation in deep-learning libraries

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:18.425241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:39:18.228482Z digest=sha256:428d925f6b36190ac41adcd0e6305fecd29f718f0ec489464829a43297b988e2

Observation a77be68d-d0e0-4801-97e6-16187ed957a7 · outbound

This paper cites ThinkRepair: Self-Directed Automated Program Repair.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models ThinkRepair: Self-Directed Automated Program Repair

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-10T21:39:18.233168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:39:18.233168Z digest=sha256:7e1aad13df84b6f5e69002e30960be91ee3ddeaa446d784000cebcef1f729de4

Observation c4abcd95-62e1-47b8-b315-8aaab821f90c · outbound

This paper cites American fuzzy lop, 2017.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models American fuzzy lop, 2017

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-10T21:39:18.238365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:39:18.238365Z digest=sha256:8159909fc10e843661b5ca97aef768e3e0b4a589671ff9a38e8122d847819b1f

Observation 51dc29a2-dca9-4b71-9e48-aafede08f419 · outbound

This paper cites Planning with Large Language Models for Code Generation.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Planning with Large Language Models for Code Generation

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-10T21:39:18.243058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:39:18.243058Z digest=sha256:e5e9ed9e71bf239358cfab134d35eaea56adbd3d20fd6208b79721596079d672

Observation c9e57b73-4728-4fd7-a7af-6bcee86b0945 · outbound

This paper cites Benchmarking large language models for news summarization.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Benchmarking large language models for news summarization

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-10T21:39:18.248044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:39:18.248044Z digest=sha256:80ec243221b7deb7e91dbabeb3b6ed11b056c5310de17e28a1d43d5a360b7173

Observation 23477ef9-3d83-4858-bd57-b9b902718812 · outbound

This paper cites Fuzzing: a survey for roadmap.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Fuzzing: a survey for roadmap

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:18.394330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:39:18.251683Z digest=sha256:7ba4921c4fc68109fdd98027a9d35d4a3351a9051d494006efbc0daf2d796e9a

Pith citing papers

Observation 2a964b6d-3fda-4598-aeb0-1097bf966b6e · inbound

Hidden Reliability Risks in Large Language Models: Systematic Identification of Precision-Induced Output Disagreements cites this paper.

Hidden Reliability Risks in Large Language Models: Systematic Identification of Precision-Induced Output Disagreements Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-13T22:03:20.530576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-13T21:59:42.435082Z digest=sha256:4d02ba963aebba0c6b7b6c2b0819c56b8ce9885d813779e2987a431bf024d2b5

Observation 2197456b-d4f4-4fa0-8b73-30fbb2a67fcf · inbound

ParityFuzz: Finding Inconsistencies across Solidity Compilers via Fine-Grained Mutation and Differential Analysis cites this paper.

ParityFuzz: Finding Inconsistencies across Solidity Compilers via Fine-Grained Mutation and Differential Analysis Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:36:36.079958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-12T02:29:44.925424Z digest=sha256:589fa9b00ed9af0224f30edf00a33200ffad306ed0929e28fdd20e38c772e88a